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arXiv:1308.2553v1 [hep-ex] 12 Aug 2013

New results on 𝝂𝝁𝝂𝝉\nu_{\mu}\to\nu_{\tau} appearance with the OPERA experiment in the CNGS beamarXiv: xxxx.xxxx

N. Agafonova Affiliation: INR Institute for Nuclear Research, Russian Academy of Sciences RUS-117312, Moscow, Russia Email: umut.kose@cern.ch    A. Aleksandrov Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Email: andrea.longhin@lnf.infn.it    A. Anokhina Affiliation: SINP MSU-Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, RUS-119992 Moscow, Russia    S. Aoki Affiliation: Kobe University, J-657-8501 Kobe, Japan    A. Ariga Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    T. Ariga Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    T. Asada Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    D. Autiero Affiliation: IPNL, Université Claude Bernard Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne, France    A. Badertscher Affiliation: ETH Zurich, Institute for Particle Physics, CH-8093 Zurich, Switzerland    A. Ben Dhahbi Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    D. Bender Affiliation: METU Middle East Technical University, TR-06531 Ankara, Turkey    A. Bertolin Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy    C. Bozza Affiliation: Dip. di Fisica dell’Univ. di Salerno and “Gruppo Collegato” INFN, I-84084 Fisciano (SA) Italy    R. Brugnera Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy Affiliation: Dipartimento di Fisica dell’Università di Padova, I-35131 Padova, Italy    G. Brunetti Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    B. Büttner Affiliation: Hamburg University, D-22761 Hamburg, Germany    S. Buontempo Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy    L. Chaussard Affiliation: IPNL, Université Claude Bernard Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne, France    M. Chernyavskiy Affiliation: LPI-Lebedev Physical Institute of the Russian Academy of Sciences, 119991 Moscow, Russia    V. Chiarella Affiliation: INFN-Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati (Roma), Italy    A. Chukanov Affiliation: JINR-Joint Institute for Nuclear Research, RUS-141980 Dubna, Russia    L. Consiglio Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy    N. D’Ambrosio Affiliation: INFN-Laboratori Nazionali del Gran Sasso, I-67010 Assergi (L’Aquila), Italy    P. Del Amo Sanchez Affiliation: LAPP, Université de Savoie, CNRS IN2P3, F-74941 Annecy-le-Vieux, France    G. De Lellis Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Affiliation: Dipartimento di Scienze Fisiche dell’Università Federico II di Napoli, I-80125 Napoli, Italy    M. De Serio Affiliation: INFN Sezione di Bari, I-70126 Bari, Italy    A. Di Crescenzo Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Affiliation: Dipartimento di Scienze Fisiche dell’Università Federico II di Napoli, I-80125 Napoli, Italy    D. Di Ferdinando Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy    N. Di Marco Affiliation: INFN-Laboratori Nazionali del Gran Sasso, I-67010 Assergi (L’Aquila), Italy    S. Dmitrievski Affiliation: JINR-Joint Institute for Nuclear Research, RUS-141980 Dubna, Russia    M. Dracos Affiliation: IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France    D. Duchesneau Affiliation: LAPP, Université de Savoie, CNRS IN2P3, F-74941 Annecy-le-Vieux, France    S. Dusini Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy    J. Ebert Affiliation: Hamburg University, D-22761 Hamburg, Germany    A. Ereditato Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    J. Favier Affiliation: LAPP, Université de Savoie, CNRS IN2P3, F-74941 Annecy-le-Vieux, France    T. Ferber Note: Now at Deutsches Elektronen Synchrotron (DESY), 22607 Hamburg, Germany. Affiliation: Hamburg University, D-22761 Hamburg, Germany    R. A. Fini Affiliation: INFN Sezione di Bari, I-70126 Bari, Italy    T. Fukuda Affiliation: Toho University, J-274-8510 Funabashi, Japan    A. Garfagnini Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy Affiliation: Dipartimento di Fisica dell’Università di Padova, I-35131 Padova, Italy    G. Giacomelli Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy Affiliation: Dipartimento di Fisica dell’Università di Bologna, I-40127 Bologna, Italy    C. Goellnitz Affiliation: Hamburg University, D-22761 Hamburg, Germany    J. Goldberg Affiliation: Department of Physics, Technion, IL-32000 Haifa, Israel    Y. Gornushkin Affiliation: JINR-Joint Institute for Nuclear Research, RUS-141980 Dubna, Russia    G. Grella Affiliation: Dip. di Fisica dell’Univ. di Salerno and “Gruppo Collegato” INFN, I-84084 Fisciano (SA) Italy    F. Grianti Affiliation: INFN-Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati (Roma), Italy Affiliation: Università degli Studi di Urbino ‘Carlo Bo’, I-61029 Urbino, Italy    A. M Guler Affiliation: METU Middle East Technical University, TR-06531 Ankara, Turkey    C. Gustavino Affiliation: IRB-Rudjer Boskovic Institute, HR-10002 Zagreb, Croatia    C. Hagner Affiliation: Hamburg University, D-22761 Hamburg, Germany    K. Hakamata Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    T. Hara Affiliation: Kobe University, J-657-8501 Kobe, Japan    T. Hayakawa Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    M. Hierholzer Note: Now at LHEP, Univ. of Bern, CH-3012 Bern, Switzerland. Affiliation: Hamburg University, D-22761 Hamburg, Germany    A. Hollnagel Affiliation: Hamburg University, D-22761 Hamburg, Germany    B. Hosseini Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Affiliation: Dipartimento di Scienze Fisiche dell’Università Federico II di Napoli, I-80125 Napoli, Italy    H. Ishida Affiliation: Toho University, J-274-8510 Funabashi, Japan    K. Ishiguro Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    M. Ishikawa Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    K. Jakovcic Affiliation: IRB-Rudjer Boskovic Institute, HR-10002 Zagreb, Croatia    C. Jollet Affiliation: IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France    C. Kamiscioglu Affiliation: METU Middle East Technical University, TR-06531 Ankara, Turkey Affiliation: Ankara University, TR-06100 Ankara, Turkey    M. Kamiscioglu Affiliation: METU Middle East Technical University, TR-06531 Ankara, Turkey    T. Katsuragawa Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    H. Kawahara Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    J. Kawada Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    J. H. Kim Affiliation: Gyeongsang National University, ROK-900 Gazwa-dong, Jinju 660-701, Korea Affiliation: Dipartimento di Fisica dell’Università dell’Aquila and INFN, I-67100 L’Aquila, Italy    S. H. Kim Note: Now at Kyungpook National Univ., 80 Daehakro, Bukgu, Daegu, Rep. of Korea. Affiliation: Gyeongsang National University, ROK-900 Gazwa-dong, Jinju 660-701, Korea Affiliation: Dipartimento di Fisica dell’Università dell’Aquila and INFN, I-67100 L’Aquila, Italy    M. Kimura Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    N. Kitagawa Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    B. Klicek Affiliation: IRB-Rudjer Boskovic Institute, HR-10002 Zagreb, Croatia    K. Kodama Affiliation: Aichi University of Education, J-448-8542 Kariya (Aichi-Ken), Japan    M. Komatsu Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    U. Kose Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy    I. Kreslo Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    A. Lauria Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Affiliation: Dipartimento di Scienze Fisiche dell’Università Federico II di Napoli, I-80125 Napoli, Italy    J. Lenkeit Affiliation: Hamburg University, D-22761 Hamburg, Germany    A. Ljubicic Affiliation: IRB-Rudjer Boskovic Institute, HR-10002 Zagreb, Croatia    A. Longhin Affiliation: INFN-Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati (Roma), Italy    P. Loverre Affiliation: IRB-Rudjer Boskovic Institute, HR-10002 Zagreb, Croatia Affiliation: Dipartimento di Fisica dell’Università di Roma ‘La Sapienza’ and INFN, I-00185 Roma, Italy    A. Malgin Affiliation: INR Institute for Nuclear Research, Russian Academy of Sciences RUS-117312, Moscow, Russia    G. Mandrioli Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy    J. Marteau Affiliation: IPNL, Université Claude Bernard Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne, France    T. Matsuo Affiliation: Toho University, J-274-8510 Funabashi, Japan    V. Matveev Affiliation: INR Institute for Nuclear Research, Russian Academy of Sciences RUS-117312, Moscow, Russia    N. Mauri Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy Affiliation: Dipartimento di Fisica dell’Università di Bologna, I-40127 Bologna, Italy    E. Medinaceli Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy Affiliation: Dipartimento di Fisica dell’Università di Padova, I-35131 Padova, Italy    A. Meregaglia Affiliation: IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France    P. Migliozzi Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy    S. Mikado Affiliation: Toho University, J-274-8510 Funabashi, Japan    A. Minotti Note: Now at IPHC, Université de Strasbourg, CNRS/IN2P3, F-67037 Strasbourg, France. Affiliation: Dipartimento di Fisica dell’Università di Roma ‘La Sapienza’ and INFN, I-00185 Roma, Italy    M. Miyanishi Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    E. Miyashita Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    P. Monacelli Affiliation: Dipartimento di Fisica dell’Università dell’Aquila and INFN, I-67100 L’Aquila, Italy    M. C. Montesi Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Affiliation: Dipartimento di Scienze Fisiche dell’Università Federico II di Napoli, I-80125 Napoli, Italy    K. Morishima Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    M. T. Muciaccia Affiliation: INFN Sezione di Bari, I-70126 Bari, Italy Affiliation: Dipartimento di Fisica dell’Università di Bari, I-70126 Bari, Italy    N. Naganawa Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    T. Naka Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    M. Nakamura Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    T. Nakano Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    Y. Nakatsuka Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    K. Niwa Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    S. Ogawa Affiliation: Toho University, J-274-8510 Funabashi, Japan    N. Okateva Affiliation: LPI-Lebedev Physical Institute of the Russian Academy of Sciences, 119991 Moscow, Russia    A. Olshevsky Affiliation: JINR-Joint Institute for Nuclear Research, RUS-141980 Dubna, Russia    T. Omura Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    K. Ozaki Affiliation: Kobe University, J-657-8501 Kobe, Japan    A. Paoloni Affiliation: INFN-Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati (Roma), Italy    B. D. Park Note: Now at Samsung Changwon Hospital, Sungkyunkwan Univ., 158 Palyongro, MasanHoiwongu, Changwon, Rep. of Korea. Affiliation: Gyeongsang National University, ROK-900 Gazwa-dong, Jinju 660-701, Korea    I. G. Park Affiliation: Gyeongsang National University, ROK-900 Gazwa-dong, Jinju 660-701, Korea    A. Pastore Affiliation: INFN Sezione di Bari, I-70126 Bari, Italy    L. Patrizii Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy    E. Pennacchio Affiliation: IPNL, Université Claude Bernard Lyon 1, CNRS/IN2P3, F-69622 Villeurbanne, France    H. Pessard Affiliation: LAPP, Université de Savoie, CNRS IN2P3, F-74941 Annecy-le-Vieux, France    C. Pistillo Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    D. Podgrudkov Affiliation: SINP MSU-Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, RUS-119992 Moscow, Russia    N. Polukhina Affiliation: LPI-Lebedev Physical Institute of the Russian Academy of Sciences, 119991 Moscow, Russia    M. Pozzato Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy Affiliation: Dipartimento di Fisica dell’Università di Bologna, I-40127 Bologna, Italy    K. Pretzl Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    F. Pupilli Affiliation: Dipartimento di Fisica dell’Università dell’Aquila and INFN, I-67100 L’Aquila, Italy    R. Rescigno Affiliation: Dip. di Fisica dell’Univ. di Salerno and “Gruppo Collegato” INFN, I-84084 Fisciano (SA) Italy    M. Roda Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy    T. Roganova Affiliation: SINP MSU-Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, RUS-119992 Moscow, Russia    H. Rokujo Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    G. Rosa Affiliation: IRB-Rudjer Boskovic Institute, HR-10002 Zagreb, Croatia Affiliation: Dipartimento di Fisica dell’Università di Roma ‘La Sapienza’ and INFN, I-00185 Roma, Italy    I. Rostovtseva Affiliation: ITEP-Institute for Theoretical and Experimental Physics, RUS-317259 Moscow, Russia    A. Rubbia Affiliation: ETH Zurich, Institute for Particle Physics, CH-8093 Zurich, Switzerland    A. Russo Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy    O. Ryazhskaya Affiliation: INR Institute for Nuclear Research, Russian Academy of Sciences RUS-117312, Moscow, Russia    O. Sato Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    Y. Sato Affiliation: Utsunomiya University, J-321-8505 Tochigi-Ken, Utsunomiya, Japan    A. Schembri Affiliation: INFN-Laboratori Nazionali del Gran Sasso, I-67010 Assergi (L’Aquila), Italy    W. Schmidt-Parzefall Affiliation: Hamburg University, D-22761 Hamburg, Germany    I.  Shakiryanova Affiliation: INR Institute for Nuclear Research, Russian Academy of Sciences RUS-117312, Moscow, Russia    T. Schcedrina Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Affiliation: LPI-Lebedev Physical Institute of the Russian Academy of Sciences, 119991 Moscow, Russia    A. Sheshukov Affiliation: JINR-Joint Institute for Nuclear Research, RUS-141980 Dubna, Russia    H. Shibuya Affiliation: Toho University, J-274-8510 Funabashi, Japan    T. Shiraishi Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    G. Shoziyoev Affiliation: SINP MSU-Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, RUS-119992 Moscow, Russia    S. Simone Affiliation: INFN Sezione di Bari, I-70126 Bari, Italy Affiliation: Dipartimento di Fisica dell’Università di Bari, I-70126 Bari, Italy    M. Sioli Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy Affiliation: Dipartimento di Fisica dell’Università di Bologna, I-40127 Bologna, Italy    C. Sirignano Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy Affiliation: Dipartimento di Fisica dell’Università di Padova, I-35131 Padova, Italy    G. Sirri Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy    M. Spinetti Affiliation: INFN-Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati (Roma), Italy    L. Stanco Affiliation: INFN Sezione di Padova, I-35131 Padova, Italy    N. Starkov Affiliation: LPI-Lebedev Physical Institute of the Russian Academy of Sciences, 119991 Moscow, Russia    S.M. Stellacci Affiliation: Dip. di Fisica dell’Univ. di Salerno and “Gruppo Collegato” INFN, I-84084 Fisciano (SA) Italy    M. Stipcevic Affiliation: IRB-Rudjer Boskovic Institute, HR-10002 Zagreb, Croatia    T. Strauss Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    P. Strolin Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy Affiliation: Dipartimento di Scienze Fisiche dell’Università Federico II di Napoli, I-80125 Napoli, Italy    K. Suzuki Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    S. Takahashi Affiliation: Kobe University, J-657-8501 Kobe, Japan    M. Tenti Affiliation: INFN Sezione di Bologna, I-40127 Bologna, Italy Affiliation: Dipartimento di Fisica dell’Università di Bologna, I-40127 Bologna, Italy    F. Terranova Affiliation: INFN-Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati (Roma), Italy Affiliation: Dipartimento di Fisica dell’Università di Milano-Bicocca, I-20126 Milano, Italy    V. Tioukov Affiliation: INFN Sezione di Napoli, I-80125 Napoli, Italy    P. Tolun Note: Deceased. Affiliation: METU Middle East Technical University, TR-06531 Ankara, Turkey    S. Tufanli Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    P. Vilain Affiliation: IIHE, Université Libre de Bruxelles, B-1050 Brussels, Belgium    M. Vladimirov Affiliation: LPI-Lebedev Physical Institute of the Russian Academy of Sciences, 119991 Moscow, Russia    L. Votano Affiliation: INFN-Laboratori Nazionali di Frascati dell’INFN, I-00044 Frascati (Roma), Italy    J. L. Vuilleumier Affiliation: Albert Einstein Center for Fundamental Physics, Laboratory for High Energy Physics (LHEP), University of Bern, CH-3012 Bern, Switzerland    G. Wilquet Affiliation: IIHE, Université Libre de Bruxelles, B-1050 Brussels, Belgium    B. Wonsak Affiliation: Hamburg University, D-22761 Hamburg, Germany    C.S. Yoon Affiliation: Gyeongsang National University, ROK-900 Gazwa-dong, Jinju 660-701, Korea    J. Yoshida Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    M. Yoshimoto Affiliation: Nagoya University, J-464-8602 Nagoya, Japan    Y. Zaitsev Affiliation: ITEP-Institute for Theoretical and Experimental Physics, RUS-317259 Moscow, Russia    S. Zemskova Affiliation: JINR-Joint Institute for Nuclear Research, RUS-141980 Dubna, Russia    A. Zghiche Affiliation: LAPP, Université de Savoie, CNRS IN2P3, F-74941 Annecy-le-Vieux, France
Abstract

The OPERA neutrino experiment is designed to perform the first observation of neutrino oscillations in direct appearance mode in the νμντ\nu_{\mu}\to\nu_{\tau} channel, via the detection of the τ\tau-leptons created in charged current ντ\nu_{\tau} interactions. The detector, located in the underground Gran Sasso Laboratory, consists of an emulsion/lead target with an average mass of about 1.2 kt, complemented by electronic detectors. It is exposed to the CERN Neutrinos to Gran Sasso beam, with a baseline of 730 km and a mean energy of 17 GeV. The observation of the first ντ\nu_{\tau} candidate event and the analysis of the 2008-2009 neutrino sample have been reported in previous publications. This work describes substantial improvements in the analysis and in the evaluation of the detection efficiencies and backgrounds using new simulation tools. The analysis is extended to a sub-sample of 2010 and 2011 data, resulting from an electronic detector-based pre-selection, in which an additional ντ\nu_{\tau} candidate has been observed. The significance of the two events in terms of a νμντ\nu_{\mu}\to\nu_{\tau} oscillation signal is of 2.40σ2.40\sigma.

Keywords
τ\tau neutrino, appearance, neutrino oscillations, OPERA, CNGS

1 Introduction

Flavour transitions between neutrino species were predicted nearly 50 years ago ref1_a; ref1_b; ref1_c. In 1998 the Super-Kamiokande experiment observed a strong deficit of atmospheric muon neutrinos in the data, and interpreted it as a result of such transitions ref2_a; ref2_b; ref2_c. A few years later, after being investigated for decades by real-time and geochemical experiments sol_a; sol_b; sol_c; sol_d; sol_e; sol_f, the so-called solar neutrino problem could also be interpreted (after the SNO results SNO) in terms of neutrino oscillations in presence of the MSW effect MSW in the Sun’s matter. The disappearance of νμ\nu_{\mu} in atmospheric neutrinos ref2_a; ref2_b; ref2_c; atm_a; atm_b; atm_c was confirmed at accelerator-based long baseline experiments ref5_a; ref5_b; ref5_c. The observation of an appearance of neutrinos from oscillations consistent with the disappearance results is still missing. The OPERA experiment ref8; proposal has the capability of detecting the appearance of a small ντ\nu_{\tau} component in a νμ\nu_{\mu} beam. The fact that the νμνe\nu_{\mu}\to\nu_{e} oscillation could not be the dominant reason of the deficit of νμ\nu_{\mu} was also established by the measurement of atmospheric νe\nu_{e} rates and confirmed by nuclear reactor experiments at short baselines ref6_a; ref6_b in the late nineties. Only recently, the probability amplitude of the νμνe\nu_{\mu}\to\nu_{e} transition, governed by the θ13\theta_{13} mixing angle, has been measured at a long baseline neutrino beam (T2K ref7). The first evidence of the disappearance of ν¯e\bar{\nu}_{e} has come from reactor experiments at short baselines and θ13\theta_{13} has been measured (Daya Bay citDB, Double Chooz citDC, RENO citRE). Super-Kamiokande also recently reported a statistical evidence of νμντ\nu_{\mu}\to\nu_{\tau} transitions SKapp in its atmospheric neutrino sample but with a modest signal to background noise due to the difficulty in cleanly reconstructing ντ\nu_{\tau} events in a water-Cherenkov detector. A positive evidence from OPERA would definitely prove that the νμντ\nu_{\mu}\to\nu_{\tau} transition is the reason of νμ\nu_{\mu} deficit and it is the dominant mechanism at the atmospheric scale, providing an essential constraint for the establishment of the 3-flavor mixing scheme. Furthermore the measurement can constrain phenomenological models such as neutrino Non Standard Interactions (NSINSIopera_a; NSIopera_b or sterile neutrinos, which, for certain choices of the parameters, result in modifications to the expected ντ\nu_{\tau} appearance rate.

After two years of technical and low-intensity runs (2006-2007) the OPERA detector in the Gran Sasso underground laboratory (LNGS) has been exposed from 2008 to 2012 to the high-energy CERN Neutrinos to Gran Sasso (CNGS) beam ref10. The detection of the first CNGS neutrino interactions in OPERA was reported in ref11_a; ref11_b and the observation of a first ντ\nu_{\tau} candidate event was presented in ref1sttau, using a sample corresponding to 1.9×10191.9\times 10^{19} protons on target (pot). An update based on the data collected in years 2008-09 (4.88×10194.88\times 10^{19} pot) was presented in ref2ndoscpaper. This paper presents the progress of the ντ\nu_{\tau} appearance search, through a re-evaluation of the efficiencies and of the backgrounds based on a full simulation of the complete analysis chain. Moreover a larger data sample has been exploited which allowed the observation of a second ντ\nu_{\tau} candidate event.

After an introduction explaining the operation of the experiment (Sect. 2), the data selection (Sect. 3) and the simulation (Sect. 4), the results (Sect. 5) will be described, giving particular emphasis to the second ντ\nu_{\tau} candidate. The significance of the observation of two candidates given the present statistics and the estimated level of background is addressed in Sect. 6 in terms of exclusion of the null-hypothesis.

2 Detector and neutrino beam

The OPERA detector ref13 is designed to tackle a challenging task: achieving micro-metric tracking accuracy over a very large detector volume spanning about (6.5 ×\times 6.5 ×\times 8) m3. The scale of the required granularity is set by the flight length of τ\tau leptons, which for the CNGS beam has a roughly exponential distribution with a mean of about 600 μ\mum. This challenge was addressed by using nuclear emulsion based trackers. Another important constraint is related to the practical impossibility to analyze the full emulsion surface 𝒪{\mathcal{O}}(0.1 km2), even with the state-of-the art automatic scanning technology. This, together with other constraints, resulted in a highly modular target made of units based on the Emulsion Cloud Chamber (ECC) technique, hereafter called bricks, interspersed with pair of planes of horizontal and vertical scintillator strips (called Target Tracker or TT ref15_c) that allow locating with a centimetric resolution the unit in which the neutrino interaction occurred. A brick is composed of 57 emulsion films interleaved with 56, 1 mm thick, lead plates for a mass of 8.3 kg. Its thickness along the beam direction corresponds to about 10 radiation lengths and its transverse size is 128 ×\times 102 mm2. A film consists of two 44 μ\mum layers deposited on each side of a 205 μ\mum plastic base. Another key ingredient for the experiment are the Changeable Sheet (CS) doublets CSpaper, attached to the downstream face of each brick. This is a pair of films having received in the underground laboratory a special treatment (refreshing) aiming at erasing most of the cosmic background accumulated since their fabrication. Their scanning allows a relatively fast feedback on the prediction of the electronic detectors (ED) and provides a prediction of the event position in the brick at the 𝒪(10)μ{\mathcal{O}}(10)\mum level, thus greatly helping the vertex location. Finally a magnetic spectrometer system instrumented with Resistive Plate Chamber (RPC) detectors and high-precision Drift Tubes (DT), is used for the task of identifying muons and measuring their charge and momentum. A good muon identification capability is essential to reduce the background to τ\tau decays from charmed particles produced in charged current (CC) νμ\nu_{\mu} interactions. The detector (Fig. 1) is divided into two identical units called Super Modules (SM), each consisting of a target and a spectrometer section. The average number of bricks has been about 140000 for a target mass of about 1.2 kt.

Refer to caption
Figure 1: A picture of the OPERA detector. CNGS neutrinos travel from left to right. The (right-handed) reference frame is oriented such that: the yy-axis is perpendicular to the hall floor and pointing up; the zz-axis is orthogonal to the brick walls and oriented as the incoming neutrinos. The angle between the neutrino direction and the zz-axis projected into the yzyz plane is of 58 mrad.

OPERA was exposed to the CNGS νμ\nu_{\mu} beam ref10 at a long-baseline, 730 km away from the source. The neutrino beam, produced by 400 GeV-protons accelerated in the SPS, has an average energy of about 17 GeV, optimised for the observation of ντ\nu_{\tau} CC interactions in the OPERA detector. In terms of interactions, the ν¯μ\bar{\nu}_{\mu} contamination is 2.1%, the νe\nu_{e} and ν¯e\bar{\nu}_{e} contaminations are together below 1%, while the intrinsic ντ\nu_{\tau} component (from DsD_{s} decays in the CNGS target and beam-dump) is of 𝒪(106){\mathcal{O}}(10^{-6}), hence negligible.

3 Data samples and event selection

CNGS completed its operation on December 3, 2012. A sample corresponding to 17.97×101917.97\times 10^{19} pot has been registered by the detector since the beginning of the program in 2008. The first task of the electronic detectors DAQ operadaq is the time-tagging of the hits allowing the selection of events in coincidence with the two 10.5 μ\mus-wide CNGS spills separated by 50 ms (the so-called “on-time” events).

An on-line filtering (TT local trigger) is then applied in order to remove background from random noise in the detector: hits are required in the horizontal and vertical views of at least two planes or the presence of at least 4 hits in a single plane is required with the sum of their photomultiplier ADC signals exceeding 500 counts (corresponding to about ten photo-electrons)11 1 The cut parameters were 10 hits and 30 photo-electrons for 2008 and 2009 runs..

The event is then classified as being CC-like (hereafter “1μ\mu”) or neutral current (NC) like (“0μ\mu”) using the data of the target tracker and the spectrometers. Recorded hits are processed by a pattern recognition algorithm and sub-samples of hits in both views are grouped into three dimensional (3D) tracks. A 3D-track is tagged as a muon if the product of its length and the density along its path is larger than 660 g/cm2. An event is classified as 1μ\mu if either it contains at least one 3D-track tagged as a muon OPERAEDpaper or the total number of TT and RPC planes having at least one hit is larger than 19. The complementary sample is defined as 0μ\mu. About 19% of the NC events are classified as 1μ1\mu while only 6% of CC events are classified as 0μ0\mu. The momentum of 3D-tracks is calculated from their bending in the spectrometer magnetic field and/or their range with a Kalman filter-based reconstruction algorithm.

A pure sample of 106422 CNGS on-time neutrino interactions is selected (Tab. 1, 3rd column). About 60% of this sample results from neutrino interactions in the rock in front of the detector typically producing long passing-through muon tracks, while the rest is from interactions occurring, in about equal fractions, in the target (contained events) and in the spectrometer.

year pot (1019) on-time events contained events average No. of bricks
2008 1.74 10141 1931 141475
2009 3.53 21455 4005 147344
2010 4.09 25497 4515 144398
2011 4.75 28195 5131 138798
2012 3.86 21134 3923 135142
all 17.97 106422 19505 141431
Table 1: Summary of the collected data samples. The given pot are corrected for the live-time of the detector. The meaning of the other columns is detailed in the text.

A classifier algorithm, OpCarac refopcarac, is applied to select the contained events yielding a total of 19505 interactions (Tab. 1, 4th column). This number corresponds to an average rate of about 18 contained neutrino interactions per day which have been stably recorded with an overall dead-time of the data acquisition and detectors of 1.5%.

Contained events are processed by a brick-finding algorithm BFref. The topology and the energy deposition in the TT scintillator strips, as well as the muon track information (when available) are used to define a three-dimensional probability density map for the vertex position. This probability is integrated over the volumes of the bricks and these are ranked in order of decreasing probability, for extraction and analysis. In the following, the highest-probability brick will be denoted as HPB.

3.1 Brick pre-selection and choice of the analysed sample

The analysis of the 2008-2009 inclusive sample (30% of the overall number of pot) was reported in ref2ndoscpaper. In that sample of 2738 fully analysed events one event was recognised as a ντ\nu_{\tau} candidate decaying to a single charged hadron (noted as τ1h\tau\to 1h)ref1sttau. More precisely the measurement of the final state topology and kinematics strongly favors this interpretation: τντρ\tau^{-}\to\nu_{\tau}\rho^{-} with ρππ0\rho^{-}\to\pi^{-}\pi^{0} and π0γγ\pi^{0}\to\gamma\gamma.

Since then the scanning strategy has been modified to accelerate the finding of a significant signal for νμντ\nu_{\mu}\to\nu_{\tau} oscillation. Priority was given to the scanning of a pre-selected sample of bricks:

  • 2008-2009 data: analysis of up to two bricks per event without event pre-selection.

  • 2010 data: analysis of the HPBs, for all 0μ0\mu events and for 1μ1\mu events with a muon momentum pμ<15p_{\mu}<15 GeV/cc.

  • 2011 data: analysis of the HPBs for all 0μ0\mu events.

This pre-selection is temporary and the analysis of lower-priority bricks will occur in the near future.

0μ0\mu events form a preferred sample to search for τ\tau decays since these essentially contain signals of the electron final state, with a branching ratio of (17.85±0.05)(17.85\pm 0.05)%, and of the 1-prong, (49.52±0.07)(49.52\pm 0.07)% and 3-prong, (15.19±0.08)(15.19\pm 0.08)% hadronic channels.

In the 1μ1\mu-decay channel, with a branching ratio of (17.36±0.05)(17.36\pm 0.05)%, most events occur at low muon momentum. This is due to the fact that the atmospheric-scale oscillation, at this baseline, mainly affects the low-energy region. Moreover, a large fraction of the τ\tau momentum is transferred to the two final-state neutrinos. This is illustrated in the left plot of Fig. 2 which also shows the distributions of the reconstructed signed muon-momentum (q×pμq\times p_{\mu}) for 1μ1\mu-events for data and Monte Carlo (MC). The shape of the data is well described by MC, indicating that the pre-selection of events is well understood. The momentum cut at 15 GeV/cc (dashed lines) results in a loss in the sample of muonic τ\tau decays of only 4%. Instead, this cut reduces by 33% the amount of νμCC\nu_{\mu}^{CC} events to be analysed and, more important, by 28% the size of the charm sample. The momentum cut at 15 GeV/cc is also applied to the 2008 and 2009 samples at a later step of the analysis chain in the kinematical selection proposal (see, Sect. 3.5).

The right plot in Fig. 2 shows the distributions of the brick probability for 0μ0\mu and 1μ1\mu events of the 2010 and 2011 samples, separately for the first two bricks in the probability ranking. Again, the shape of the brick probability is well described by MC. Details on the MC simulation will be given in Sect. 4.

Figure 2: Left: Shape comparison of the distributions of the reconstructed muon momentum (pμp_{\mu}) multiplied by the charge (qq) for 1μ1\mu events for 2008-2010 data (bullets) and MC (orange band). The pre-selection cut at ±\pm~15 GeV/cc is marked by the vertical lines. The bar height in the MC indicates a 10% systematic error. The dashed histogram represents the τμ\tau\to\mu channel MC simulation (shape only). Right: normalized probability distributions for the 1st, 2nd brick for the data of 2010 and 2011 (bullets) and the MC (histograms).

The number of events selected at the level of electronic detectors (NEDN_{ED}) is 11149 (listed for each year in the first row of Tab. 2). Part of this sample is discarded by the brick finding algorithm based on the topology of the measured hits in the TT. The rejected sample is mainly accounted for by punch-through of external interactions. The numbers of events with a good brick prediction, which are sent to the scanning laboratories (NpredN_{pred}, 9267 in total), are given in the 2nd row in Tab. 2.

Selected bricks are routinely extracted by a robotic Brick Manipulator System (BMS) capable of keeping up with the average weekly rate of neutrino interactions and thus allowing for the emulsion-based analysis to potentially proceed in parallel to the neutrino interactions data taking. Removed bricks with a negative CS result are re-inserted in the target after replacement of the CS while dismantled bricks are not replaced. Empty spaces are filled by a rearrangement of bricks. This approach aims at keeping the target homogeneous and minimise the occurrence of events with irregularities in the energy flow containment. The position of each brick is registered in a dynamic database to enable the event location.

The average number of bricks in the detector during each run is given in the last column of Tab. 1. The time evolution of the target mass is shown in more detail in Fig. 3 (blue curve) together with the integrated number of pot (corrected for the inefficiency of the DAQ system, red curve). The loss in target mass at the end of the running amounts to 8.5% of its maximum value.

Refer to caption
Figure 3: Evolution of the detector target mass (blue bullets) and the integrated number of pot (red line) over the total experiment running. The filled histogram shows the pot in one hour wide bins. The dashed horizontal line shows the pot-weighted average mass which amounts to 1.18 kt.

The pre-selected events (NEDN_{ED}) represent a fraction of 78% and 33% of the 2010 and 2011 contained-event samples, respectively.

2008 2009 2010 2011 2008-2011
0μ0\mu 1μ1\mu 0μ0\mu 1μ1\mu 0μ0\mu 1μ1\mu, p<15p<15 GeV/cc 0μ0\mu all
2B 2B 1B 1B
NEDN_{ED} 552 1379 1199 2806 1420 2109 1684 11149
NpredN_{pred} 404 1328 884 2696 948 2014 993 9267
NbrickN_{brick} 152 848 265 1597 218 830 225 4135
NDSN_{DS} 146 819 248 1554 209 794 199 3969
Table 2: Summary of the analysed data samples. 2B stands for two-brick analysis while 1B denotes the highest-probability brick analysis. NEDN_{ED} (Sect. 3.1) are the pre-selected events, NpredN_{pred} (Sect. 3.1) are the events with a brick prediction, NbrickN_{brick} (Sect. 3.3) the events located in the bricks and NDSN_{DS} (Sect. 3.4) the number of events for which the decay-search procedure was applied.

3.2 Analysis of the Changeable Sheets

After the extraction of the selected brick from the detector, the scanning of the CS doublets is performed in order to validate or disprove the brick-finding result. The pattern of tracks reconstructed in the CS doublets can confirm the prediction of the electronic detector, or act as veto and thus trigger the extraction of neighbouring bricks.

CS doublets are inspected by automatic optical scanning microscopes ref14_d; uts_a; uts_b; uts_c; uts_d; ess_a; ess_b; ess_c; ess_d; ess_e in two specialised scanning stations at the LNGS laboratory and at Nagoya University. A rectangular shape is defined centered on the prediction of the electronic detectors with a resulting average scanning area of 20 cm2 for 1μ1\mu events and 35 cm2 for 0μ0\mu events, the pointing accuracy here being poorer due to the absence of a muon track.

The tracking efficiency of the CS doublets has been measured in neutrino data and test beam exposures CSpaper; CSpaperJP. A charged particle crossing the CS will produce 4 track segments called micro-tracks. The micro-track detection efficiency for minimum ionising tracks is 95% CSpaperJP with the automatic scanning system. The distributions of the residuals in position and angle between the ED and CS tracks have a standard deviation of about 8 mm and 15 mrad respectively.

The analysis and scanning strategy have been improved during the years. In the analysis of the 2008 and 2009 runs, a brick was sent to development as soon as at least one CS track had a possible match with some ED hits. Subsequently the strategy (“CS trigger”) has been refined for the 2010 and 2011 runs by requiring the presence of at least:

  • for 1μ1\mu events, a CS track compatible with the ED muon track within 60 mrad

  • for 0μ\mu events, a CS track matching an isolated ED track

  • 2 or more CS tracks possibly converging towards a common origin in the brick.

If none of these conditions are fulfilled, the brick is put back in the target with a new CS doublet and the next brick in the probability map is extracted (in case of multi-brick analysis). This method allows saving scanning and analysis time and minimising the target mass loss. In case of a positive outcome, the brick is exposed to cosmic rays in a dedicated pit in the surface LNGS laboratory for 14 hours for high-precision film-to-film alignment, later to be dismantled in the dark room where the emulsion films are developed. The films are finally dispatched to the scanning laboratories of the Collaboration for the “vertex location” and “decay search” analysis.

3.3 Vertex location in the brick

CS tracks are projected to the most downstream emulsion film in the brick (through a distance of about 4.5 mm mainly filled with the plastic and Aluminium film of the CS and brick boxes) where they are searched for. The residuals in position are at the level of 50-60 μ\mum such that the tracks are typically found within the predicted microscope view (400 ×\times 300 μ\mum). They are then followed upstream film by film (“scan-back”scanback_a; scanback_b) adjusting the predictions in angle and position at each step to cope with multiple Coulomb scattering (MCS) in the lead plates and measurement errors effects.

The scan-back procedure is stopped when no track candidate is found in three consecutive films; the lead plate just upstream of the last detected segment is defined as the candidate vertex plate. At this stage a volume is defined with a transverse area of 1 cm2 for 5 films upstream and 10 films downstream of the stopping point (or less if the stopping point lies too upstream or downstream in the brick) and tracks within an angular acceptance tanθ<0.6\tan\theta<0.6 (θ\theta being the angle of the track with the zz axis, Fig. 1) are searched for in this volume (general scan).

The scan-back procedure is modified for events in which the CS-trigger is produced only by a shower-like topology (mainly due to γ\gamma conversions from π0\pi^{0} decays). In such cases an area of 1 cm2 centered on the shower axis is analysed for 20 films (corresponding to about 3.5 X0X_{0}) starting from the last plate.

All track segments collected in the scanned volumes are analysed by offline algorithms which perform precise alignment, tracking and vertexing. The alignment of the films (with an accuracy of a few μ\mum) is assured by the cosmic ray tracks (Sect. 3.2).

In some cases the scan-back track is not associated to any other track inside the volume due to a low-multiplicity event or because of the angular acceptance limitation or tracking inefficiencies. In this condition the vertex is consider as detected. A further signature of the neutrino interaction can then be obtained from the analysis of nuclear fragments which might be visible in the forward and/or backward hemisphere especially if the interaction happened close to the emulsion layers. Dedicated image analysis tools have been developed largeangle_a; largeangle_b to detect highly ionising large-angle tracks in the proximity of the stopping point.

Interactions are tagged as “dead material” when the extrapolated vertex does not lie in the lead plates or in the films (i.e. it is in the scintillator strips, in the brick supporting structure) and no event-related tracks are found in the upstream-brick CS-doublet.

For the 2008-2011 analysed sample, the events located in the brick lead plates (NbrickN_{brick}) amount to 4135 (Tab. 2).

3.3.1 Data-MC comparison for the location efficiency

An important check of the understanding of the complex task of event location is done at this stage. We consider the data collected in the year 2008 and 2009 and the two-brick analysis strategy.

For the definition of the initial control sample of 0μ0\mu events (N0μ,EDN_{0\mu,ED}^{\prime}) we adopt a stricter selection on the fiducial volume and a minimal requirement on the energy released in the TT (ETT>70E_{TT}>70 MeV). This allows getting the contamination of external events to the level of 5% in the 0μ0\mu sample. This residual contamination has been statistically subtracted. The location efficiency ϵloc=Nbrick/(NED(1fDM)(1fBQ))\epsilon_{loc}=N_{brick}/(N_{ED}^{\prime}(1-f_{DM})(1-f_{BQ})) is then defined, fDMf_{DM} being the fraction of interactions in the dead material which is estimated from the MC simulation (fDM=7.8f_{DM}=7.8%) and fBQf_{BQ} being the fraction of films which could not be analysed due to their bad quality (fBQ=6%f_{BQ}=6\%).

The dependence of the location efficiency ϵloc\epsilon_{loc} on ETTE_{TT} is shown in Fig. 4 for data and MC for 1μ1\mu and for 0μ0\mu events. The two quantities are highly correlated in the 0μ0\mu sample where the hadronic activity plays a crucial role in the location. The bands in the MC prediction are representing the systematic uncertainty which is 10% for the 1μ1\mu sample and the 0μ0\mu sample with ETT>200E_{TT}>200 MeV and 20% for the 0μ0\mu sample with ETT<200E_{TT}<200 MeV. The systematic uncertainties account for residual differences in the MC description of the data: the implementation of the CS trigger and brick scanning strategy, the definition of the dead material contribution. For the 0μ0\mu sample an additional uncertainty arises from the subtraction of the external background component.

The agreement between data and MC is good in shape and normalisation for the 1μ1\mu sample while for the 0μ0\mu sample the agreement is good in shape, but data tends to be below the MC by about 15%, independently of ETTE_{TT}. It must be noted, however, that this residual difference in the location efficiency in data and Monte Carlo for the 0μ0\mu sample has no effect on the predicted signal or background events which is normalised to the number of localised events in the data (see Sect. 4.1).

Figure 4: Location efficiency with the two-brick analysis (ϵloc\epsilon_{loc}) vs ETTE_{TT} in a control sample of data collected in 2008 and 2009 (bullets) compared with MC (histograms). The comparison is done separately for 0μ0\mu and 1μ1\mu events. The error bars represent the systematical and statistical uncertainties in the MC and in the data respectively.

3.4 Decay search (topological selection)

The decay search (DS) procedure is aimed at detecting the decay topologies of τ\tau leptons produced in ντCC\nu_{\tau}^{CC} interactions once a vertex has been identified in the volume scan data. The decay is defined as “short” if it happens in the same lead plate where the neutrino interaction occurred or in the first downstream emulsion layer and as “long” if it happens further downstream such that at least one complete micro-track is produced by the τ\tau-lepton. About 46% of the τ\tau decays are expected to be short (43% in the first lead plate and 3% in the first emulsion layer) while the remaining 54% are long decays happening in the first plastic base (11%), in the second emulsion layer (2%), in the second lead plate (25%) or further downstream (16%).

Candidate daughter tracks from short-lived particles decays are selected by requiring their impact parameter (IPIP) with respect to the reconstructed neutrino interaction vertex to be larger than 10 μ\mum if the depth in lead (λ\lambda) is lower than 500 μ\mum or by loosening this requirement to IP>(5+0.01×λ)IP>(5+0.01\times\lambda) μ\mum for deeper vertices. The next requirement is that the momentum of the candidate daughter track measured from its MCS (pmcsp_{mcs}MCSpaper is larger than 1 GeV/cc. If the number of planes in the scanned volume is not sufficient to estimate pmcsp_{mcs} the angular spread SθS_{\theta} of the available segments is evaluated (see refDS for a detailed definition). If Sθ>15S_{\theta}>15 mrad in both views, the track is discarded, otherwise the MCS measurement is extended to more plates.

A search is then performed for additional tracks (called extra-tracks) which are not directly connected to the primary vertex: they must be detected in at least 3 films and the distance along the zz-axis between the most upstream segment and the neutrino vertex (Δz=zupzvtx\Delta z=z_{up}-z_{vtx}) is required to be positive and less than 3.6 mm. In addition we require IP<IP< 300 μ\mum if Δz<\Delta z< 1 mm and IP<IP< 500 μ\mum for Δz>\Delta z> 1 mm.

In order to deal with topologies in which the first-reconstructed vertex is the decay vertex and thus downstream of the primary neutrino vertex (e.g. in a τ3h\tau\to 3h decay) the search for extra tracks is also extended upstream, requiring Δz>2\Delta z>-2 mm and IP<IP< 500 μ\mum. For the events located on the basis of a single track (which could be due to a higher-multiplicity decay with tracks outside of the scanning angular acceptance), extra-tracks are searched for within a Δz\Delta z of ±\pm 3 mm and IP<500IP<500 μ\mum. In this case the zz position of the vertex is assumed to be at the center of the lead plate.

A search for charged short-lived parents is then applied to both upstream and downstream extra-tracks by looking for tracks or single segments with IP<10IP<10 μ\mum and a distance of closest approach dca<d_{ca}< 20 μ\mum with respect to the possible daughter tracks.

Finally the presence of a significant kink (larger than 20 mrad) is checked on the muon track for 1μ1\mu events and on all tracks for 0μ0\mu events. The four most upstream segments of the track are used to evaluate the ratio (RR) between the maximum angular difference between pairs of segments and the overall angular spread refDS. If R>5R>5 then a “kink trigger” is issued and further analysis is performed.

All these operations are supplemented by manual eye-inspection at the microscope in order to improve the information provided by automatic scanning in terms of angular resolution (the automatic system accuracy can sometimes be spoiled by the association of uncorrelated background grains) and efficiency (by recovering the information for inefficient planes). Eye-inspection is also employed to improve the purity by discarding fake tracks (most important for large angles and high-fog22 2 AgBr crystals can be activated in the emulsion due to thermal or mechanical excitations resulting in the presence of randomly distributed grains which are referred to as “fog”. films), and furthermore allows excluding passing–through cosmic ray tracks which can mimic extra-tracks due to inefficiencies of the automatic scanning in the five upstream films.

The number of events with a completed decay-search (NDSN_{DS}) for the present analysis amounts to 3969 (Tab. 2). This number differs from NbrickN_{brick} by about 4% due to the events which fall at the edges of the brick (either in the longitudinal plane or in the transverse direction).

3.4.1 The charm control sample

Given the similarity in mass and decay topologies, the detection of charmed particles constitutes not only a background but also an important tool to verify the understanding of the τ\tau detection efficiency up to the topological selection (decay-search) level.

The charm sample is selected using the same DS analysis as used for the signal search with the exception that the kinematic selection of ντ\nu_{\tau} candidate events (which will be described in the following section) is not applied33 3 For 1-prong decays a minimum kink angle of 20 mrad and a momentum of the daughter particle larger than 1 GeV/cc is also required..

The charm yield has been predicted using the latest analysis of the CHORUS data ref21 at the WANF neutrino beam (Eν27\langle E_{\nu}\rangle\simeq 27 GeV) and re-weighting it for the different neutrino energy spectrum at OPERA (see Sect. 4.2.1 for more details). The decay search efficiency is estimated to be (58 ±\pm 8)% for long charm decays and (18 ±\pm 2)% for short charm decays. The main sources of background in the charm selection are hadronic re-interactions (about 87%87\% of the total background) and decays of KS0K^{0}_{S} or Λ\Lambda. In the analysed sample of events from the 2008, 2009 and 2010 years having at least a muon tagged 3D-track, a total of (40±340\pm 3) charm events and (14±314\pm 3) background events are expected while 50 charm candidate events are observed in the data. The distributions of the flight length of the charm candidates and of the impact parameters of the secondary particles with respect to the primary vertex are presented in Fig. 5 for data and MC. Not only the absolute yields but also the shapes of the distributions are in very good agreement, which indicates that the systematic error on the estimated efficiency of the full analysis chain cannot exceed 20%. A more extensive discussion of the charm sample will be presented in nextcharmpaper.

Figure 5: Shape comparison of the distributions of the flight length (left) and the tracks’ impact parameters with respect to the primary vertex (right) for the charm data sample of 50 events, described in Sect. 3.4.1, (bullets) and the MC simulation of 40±340\pm 3 expected charm events (green hatched histogram) and 14±314\pm 3 expected hadronic interactions and strange meson decays (yellow hatched histograms).

3.5 Kinematic selection

Several kinematic quantities of the neutrino interaction are accessible at brick-level via momentum reconstruction using MCS. The energy of electrons and photons is also measured by employing calorimetric techniques EMrec; nuepaper. Kinematic criteria can be defined to improve the signal-to-background ratio. To improve the acceptance for electromagnetic showers and reduce the error on the track momentum measurement the standard volume considered for the location (Sect. 3.3) is enlarged and tracks are followed downstream, eventually in other bricks (Sect. 3.6).

After denoting the charged tracks emerging from the neutrino interaction vertex or the decay vertex as “primaries” and “daughters” respectively, and the short-lived primary track as “parent”, we define the following relevant variables:

  • zdecz_{dec}: the zz-coordinate of the decay vertex with respect to the downstream face of the lead plate containing the primary vertex (zdec<44μz_{dec}<44~\mum for short decays).

  • pT2ryp_{T}^{2ry}: the transverse momentum of the daughter with respect to the parent direction, for 1-prong decays.

  • pTmissp_{T}^{miss}: the magnitude of the vectorial sum of the transverse momenta of primaries (except the parent) and daughters with respect to the neutrino beam direction.

  • p2ryp^{2ry}: the scalar sum of the momenta of the daughters.

  • θkink\theta_{kink}: the average 3D angle between the parent and its daughters (kink angle).

  • mm: the invariant mass of the daughters (calculated attributing the π\pi mass).

  • mminm_{min}: the minimal invariant mass ref:mininvmass.

  • ϕlH\phi_{lH}: the angle between the parent and the vectorial sum of the other primaries calculated in the plane perpendicular to the CNGS axis.

In the calculation of ϕlH\phi_{lH}, if the primary multiplicity (including the τ\tau track candidate) is larger than two, the primaries are defined after removal of the track with the largest difference in ϕ\phi with respect to the τ\tau candidate (TLD) unless it is identified as a hadron with high probability by the track follow-down procedure (Sect. 3.6). This is intended to remove events where the TLD is actually a genuine muon which has not been identified as such by the electronic detectors (for these events, if the TLD would not be excluded the angle would be large and thus the kinematic cut on this variable would not be effective).

The applied selections are summarised for each channel in Tab. 3. The choice of cut parameters has been studied and defined in proposal for the 1hh, electron and muon channels and in tesiAntonia for the 3hh channel.

variable τ1h\tau\to 1h τ3h\tau\to 3h τμ\tau\to\mu τe\tau\to e
lepton-tag No μ\mu or ee at the primary vertex
zdecz_{dec} (μ\mum) [44,2600][44,2600] <2600<2600 [44,2600][44,2600] <2600<2600
pTmissp_{T}^{miss} (GeV/cc) <1<1^{\star} <1<1^{\star} / /
ϕlH\phi_{lH} (rad) >π/2>\pi/2^{\star} >π/2>\pi/2^{\star} / /
pT2ryp_{T}^{2ry} (GeV/cc) >> 0.6(0.3)* / >> 0.25 >> 0.1
p2ryp^{2ry} (GeV/cc) >> 2 >> 3 >> 1 and << 15 >> 1 and << 15
θkink\theta_{kink} (mrad) >20>~20 <500<~500 >20>~20 >20>~20
m,mminm,m_{min} (GeV/c2c^{2}) / >0.5>~0.5 and <2<~2 / /
Table 3: Kinematic selection. The meaning of the variables is defined in the text. The cut on pT2ryp_{T}^{2ry} for the 1-prong hadronic decay is set at 0.3 GeV/cc in the presence of γ\gamma particles associated to the decay vertex and to 0.6 otherwise. Cuts marked with a \star are not applied in the case of a QE event. Only long decays are considered for the τμ\tau\to\mu and τh\tau\to h channels due to a large background component in short decays from charmed particles and hadronic re-interactions respectively.

3.6 Track follow-down

The track kinematics of interesting events fulfilling the selection are further studied in neighbouring bricks. Primary tracks are followed (with an angular acceptance extending up to tanθ=1\tan\theta=1) until either a stopping point, an interaction or a muon decay topology is found (track follow-down, TFD). Thus, by the study of momentum-range correlations, track length, energy loss in proximity of the stopping point, and (if possible) the tagging of interactions or muon decays, a muon/hadron separation exceeding the limitations of the electronic detector reconstruction is obtained.

This procedure results in a significant reduction of the background in all channels from νμCC\nu_{\mu}^{CC} charm production where the primary μ\mu is not identified in the ED. The TFD technique also provides an important reduction of the background in the τμ\tau\to\mu channel from νμCC\nu_{\mu}^{CC} events in which the primary μ\mu is wrongly associated to a secondary vertex with a kink topology from a hadronic re-interaction. This also holds for νμNC\nu_{\mu}^{NC} events with a fake muon. The improved muon/hadron separation provided by TFD is also effective in reducing the background in the hadronic channels due to hadron re-interactions in νμCC\nu_{\mu}^{CC} events where the electronic detectors alone do not allow the primary μ\mu to be identified unambiguously.

Momentum-range correlations are characterised by a discriminating variable defined as: DTFD=LR(p)ρρD_{TFD}=\frac{L}{R(p)}\frac{\rho}{\langle\rho\rangle} where LL is the track length, R(p)R(p) is the range in lead of a muon with momentum pp, ρ\langle\rho\rangle is the average density along the path and ρ\rho is the lead density. The MC distributions of DTFDD_{TFD} for hadrons and muons are reported in Fig. 6. If DTFD>0.8D_{TFD}>0.8 the track is classified as a muon. Among all the criteria used to separate muons from hadrons, momentum-range correlations and energy loss close to the stopping point, are those having a lower purity in the muon-tagging. For this reason, TLD tracks which are classified by the TFD as hadrons only by one of the above criteria are not included in the calculation of ϕlH\phi_{lH}.

Figure 6: MC distributions of the DTFDD_{TFD} variable (Sect. 3.6) used to combine the information on momentum and range to separate muons from hadrons. The red (gray) histograms refers to genuine muons (hadrons). The vertical line denotes the used cut.

4 Monte Carlo simulation of signal and backgrounds

Compared to the results published in ref2ndoscpaper several improvements have been adopted in the simulation of the detector. Efficiencies and backgrounds are based on a new software framework which combines the information of the electronic and ECC detectors. All particle trajectories are digitised at the micro-track level in a volume consisting of 3×\times3×\times3 bricks, with the brick containing the neutrino interaction at the center. For dedicated studies (i.e. for the TFD simulation), also larger volumes have been considered. The efficiency and the resolution (in angle and position) of the scanning microscopes are simulated using parametrisations obtained from real data. The framework allows reproducing the analysis flow from the prioritisation based on the brick probability, the CS-trigger, the CS-to-brick connection, the scan-back, the alignment and the vertexing with full access to the reconstruction parameters. Using this tool the decay search procedure has been included in the efficiency evaluation. Furthermore the detection efficiencies have been re-evaluated for all channels and the simulation of the brick extraction strategies for the different years of data taking has also been updated.

4.1 Expected signal event rates

The neutrino fluxes used in the calculation of the expected signal rates are based on a FLUKA fluka simulation of the CNGS beam-line (2005 revision CNGSflux). The neutrino interactions in the detector are generated using the NEGN generator after a tuning of the parameters based on the high-statistics data sample of the NOMAD experiment NOMADtuning . The energy-dependence of the ντ\nu_{\tau} cross section that has been used is the default implementantion contained in the GENIE v2.6 simulation program GENIEcit. The νμντ\nu_{\mu}\to\nu_{\tau} oscillation probability was evaluated using Δm232=2.32×103\Delta m^{2}_{23}=2.32\times 10^{-3} eV2 PDGdm2 and sin22θ23=1\sin^{2}2\theta_{23}=1. With these ingredients, the expected rate of ντCC\nu_{\tau}^{CC} on lead at true level is equal to 3.323.32 events/(1019 pot kt). Taking into account the time evolution of the pot delivery rate and the effective mass of the detector throughout the running period (Fig. 3) a total number of 66.4 ντ\nu_{\tau} CC interactions in lead are expected (with the non-DIS component being about one third GENIEcit of the total).

The expected rate of ντCC\nu_{\tau}^{CC} events in the 0μ0\mu sample can be expressed in terms of the measured event rate in the same category (n0μn^{0\mu} from both νμCC\nu_{\mu}^{CC} and νμNC\nu_{\mu}^{NC}) as:

n0μ(ντCC)=n0μN(νμCC)ϵ0μ(ντCC)ϵ0μ(νμCC)+αϵ0μ(νμNC)n^{0\mu}(\nu_{\tau}^{CC})=\frac{n^{0\mu}}{N(\nu_{\mu}^{CC})}\frac{\langle\epsilon^{0\mu}(\nu_{\tau}^{CC})\rangle}{\langle\epsilon^{0\mu}(\nu_{\mu}^{CC})\rangle+\alpha\langle\epsilon^{0\mu}(\nu_{\mu}^{NC})\rangle} (1)

denoting with ϵr(k)\langle\epsilon^{r}(k)\rangle the efficiency for reconstructing the process kk (νμCC\nu_{\mu}^{CC}, νμNC\nu_{\mu}^{NC}) in the reconstructed category rr (0μ0\mu, 1μ1\mu) after convolution with the CNGS flux ϕ\phi; N(νμCC)N(\nu_{\mu}^{CC}) being the νμCC\nu_{\mu}^{CC} interactions at true level and α=σ(νμNC)/σ(νμCC)ϕ\alpha=\sigma(\nu_{\mu}^{NC})/\sigma(\nu_{\mu}^{CC})~\otimes~\phi. In the present analysis the actual number of n0μn^{0\mu} is taken from the data while other quantities are MC driven. The expected numbers obtained with the above-mentioned procedure are insensitive to systematic effects on the efficiencies up to the location level being common to ντ\nu_{\tau} and νμ\nu_{\mu} events. The same approach is followed in the prediction of the ντ\nu_{\tau} component in the 1μ1\mu sample. In this particular case, in addition to the standard 1μ1\mu classification (Sect. 3), the presence of a muon tagged 3D track is also required due to the need of matching this ED track to the ECC secondary μ\mu candidate track for the sake of background reduction.

Finally it must be noted that in the present approach the signal efficiency is not taking into account possible migrations between different channels and could therefore be slightly underestimated.

4.2 Expected background event rates

Three sources of backgrounds are giving significant contributions to the final sample: charmed particles decays, hadronic interactions and large-angle muon scattering (LAS). The last one only affects the τμ\tau\to\mu channel while the other classes differently affect all decay channels. These backgrounds have been discussed extensively in proposal. The basic ingredients for the more recent evaluation of these components will be discussed in the following.

4.2.1 Charmed particle decays.

The most effective tool for the rejection of the background from charmed particles is an efficient identification of the primary muon in νμCC\nu_{\mu}^{CC} interactions. The fraction of νμCC\nu_{\mu}^{CC} events having an associated charm quark at the CNGS energies is estimated from the CHORUS measurement ref21 as (σ(νμCC+c)/σ(νμCC))ϕ=(4.38±0.26)%(\sigma(\nu_{\mu}^{CC}+c)/\sigma(\nu_{\mu}^{CC}))\otimes\phi=(4.38\pm 0.26)\%. The tagging of the primary muon is achieved first, at the level of the ED, via the reconstruction of penetrating 3D-tracks and the vetoing of events involving many TT planes (to complement the tracking) as described in Sect. 3. Requiring an event to be classified as 0μ0\mu reduces the yield down to 6% of the initial charm sample. At the emulsion detector level, the TFD procedure gives a further suppression by 60%. Taking into account the effects of the full analysis chain and considering only the HPB, an overall suppression of 3.3×1053.3\times 10^{-5} is obtained in the 1h1h channel and 3.4×1043.4\times 10^{-4} in the 3h3h channel. The two-brick analysis gives an increase by a factor 20-25% resulting in an expectation of 0.027±0.0050.027\pm 0.005 events and 0.12±0.020.12\pm 0.02 events in the analysed sample for the 1h1h and 3h3h channels respectively (Fig. 7, green-coloured histogram and Tab. 4).

The background from charmed particles in the τe\tau\to e decay channel (where, unlike in the muon case, the positive charge of the decay electron cannot be measured) gives a contribution in the analysed sample of 0.020±0.0040.020\pm 0.004 events. This is the only significant background in this channel.

The background from charmed particles in the τμ\tau\to\mu decay channel is relatively small since it only arises in two cases i.e. 1) when the primary μ\mu is not identified, a muonic decay occurs (f(C+μ+h0)=(5.3±2.8)%f(C^{+}\to\mu^{+}h^{0})=(5.3\pm 2.8)\%), and the positive charge of the secondary μ\mu is not measured or mis-identified; 2) the secondary μ\mu is not identified and the primary μ\mu is wrongly matched to the decay daughter. This results in a background contribution of 0.012±0.0050.012\pm 0.005 events (Fig. 7, green-coloured histogram and Tab. 4).

Finally, the double charm production in NC interactions process has to be considered. The yield has been measured by the CHORUS collaboration to be σ(cc¯ν)/σNCDIS=(3.622.4+2.9(stat.)±0.54(sys.))×103\sigma(c\bar{c}\nu)/\sigma_{NC}^{DIS}=(3.62^{+2.9}_{-2.4}\rm{(stat.)}\pm{0.54}\rm{(sys.)})\times 10^{-3} CHORUSDC. This component cannot profit of the suppression given by the primary muon identification but, on the other hand, it can be removed by measuring the presence of the primary and secondary vertices. This contribution, which is expected to be a second order correction, is not included in the present estimates.

The uncertainty on the charm background component is estimated within the 20% level based on the measured sample of charm events (Sect. 3.4.1).

4.2.2 Hadronic re-interactions.

This background has been estimated by giving hadronic tracks from located 0μ0\mu events (from an initial sample of 9×\times106 νμNC\nu_{\mu}^{NC} interactions) as an input to a FLUKA-based MC simulation. With respect to a similar analysis reported in ref2ndoscpaper this approach implements the FLUKA hadronic models to fully reconstructed events thus including the biases introduced by the selection chain, up to the event-location level.

The fraction of located 0μ0\mu events with at least one track mimicking the topology of a single-prong long decay and θkink>20\theta_{kink}>20 mrad is found to be 2.12.1% while the fraction with at least a track producing three visible prongs in the scanning acceptance is 0.18%0.18\% (short and long). The kinematic selection (in particular the p2ryp^{2ry} and pT2ryp_{T}^{2ry} cuts) strongly reduces the “topological” sample to (0.27±0.02(stat.))%(0.27~\pm~0.02(\rm{stat.}))\% (1h1h) and (1.2±0.1(stat.))%(1.2~\pm~0.1(\rm{stat.}))\% (3h3h), due to the typical low transverse momentum of the secondary products. At this stage an additional reduction of 30%30\% is obtained by requiring the absence of nuclear fragments (either in the backward or forward hemisphere) or minimum ionising particles up to tanθ=3\tan\theta=3. Finally the estimated rate of background events amounts to (3.9±0.2(stat.))×105(3.9~\pm~0.2(\rm{stat.}))\times 10^{-5} of the located 0μ0\mu events for the 1h1h channel and (1.5±0.2(stat.))×105(1.5~\pm~0.2(\rm{stat.}))\times 10^{-5} for the 3h3h channel. The expected interaction rate per unit length in the plastic base is about 4.5\color[rgb]{0,0,0}{4.5} times smaller than in the lead plate due to the combined effect of the density and the mean atomic number.

Several data-driven checks of the FLUKA description of hadronic interactions in the OPERA bricks were performed ref2ndoscpaper. In general a good agreement between data and simulation is observed for different data-sets: a sample of hadronic interactions of pions of 2, 4 and 10 GeV/cc momenta from a CERN-based test beam; a sample of hadronic tracks from CNGS neutrino interactions measured in the emulsions (total length 19 m) and a sample of hadronic nuclear fragments from test-beam pion interactions for which the yields and angular distributions have been studied. With respect to ref2ndoscpaper, analyses based on larger data samples have been developed TohoArticle; tesiToho; tesiRescigno; tesiStellacci allowing estimating an accuracy of the predictions for the hadronic background at the 30% level. The uncertainty in the rate of high-angle nuclear fragments emitted in hadronic re-interactions is estimated in TohoArticle at the 10% level. In conclusion, considering the 1hh and 3hh channels together, in the analysed sample a total of 0.018±0.0050.018\pm 0.005 events from hadronic re-interactions is expected (Fig. 7, yellow-coloured histogram and Tab. 4).

4.2.3 Large-angle muon scattering.

The occurrence of large-angle scattering of muons in thin (𝒪(0.1)X0{\mathcal{O}}(0.1)X_{0}) lead plates is, at present, not well constrained by measurements. Upper limits from extrapolations of measurements on copper or nuclear emulsions have been reported in proposal: the rates in the signal region θkink>20\theta_{kink}>20 mrad and pTμ>0.25p_{T}^{\mu}>0.25 GeV/cc for muon tracks with a realistic angular and momentum spectrum, are, at 90% C.L., below 2.3×1052.3\times 10^{-5} and 4.1×1054.1\times 10^{-5}, respectively. A GEANT 3.21 G3 based simulation, modified to take into account data on the nuclear form factor of lead and inelastic interactions, predicts a rate of 2×1062\times 10^{-6}. More experimental activities to determine this process are in progress. In the present work the same contribution used for the experiment proposal proposal (1×1051\times 10^{-5}) is assumed corresponding to 0.009±0.0050.009\pm 0.005 events in the analysed sample (Fig. 7, blue-coloured histogram and Tab. 4).

4.2.4 Summary of the expected event numbers.

Figure 7: Signal and backgrounds (left panel) and backgrounds only (right panel) expectations by channel for the sample considered in this paper (“c.s.”, filled histograms). Black rectangles show the estimated uncertainty. The dashed line in the left plot shows the signal expectation for the two-brick analysis of the complete data sample collected in the year 2008-2012.
Signal events All Charm LAS Hadronic
Δm232=2.32m(eV2)\Delta m^{2}_{23}=2.32\rm{m(eV}^{2}) backgrounds background background background
τh\tau\to h 0.31±0.060.31~\pm~0.06 0.027±0.0050.027~\pm~0.005 0.011±0.0020.011~\pm~0.002 / 0.016±0.0050.016~\pm~0.005
τ3h\tau\to 3h 0.43±0.090.43~\pm~0.09 0.12±0.020.12~\pm~0.02 0.11±0.020.11~\pm~0.02 / 0.0021±0.00060.0021~\pm~0.0006
τμ\tau\to\mu 0.33±0.070.33~\pm~0.07 0.012±0.0050.012~\pm~0.005 0.0023±0.00040.0023~\pm~0.0004 0.009±0.0050.009~\pm~0.005 /
τe\tau\to e 0.46±0.090.46~\pm~0.09 0.020±0.0040.020~\pm~0.004 0.020±0.0040.020~\pm~0.004 / /
all 1.53±0.161.53~\pm~0.16 0.175±0.0240.175~\pm~0.024 0.15±0.020.15~\pm~0.02 0.009±0.0050.009~\pm~0.005 0.018±0.0050.018~\pm~0.005
Table 4: Signal and backgrounds expectations for the analysed sample. The numbers correspond to the dashed histograms in Fig. 7

The estimated signal and background events for the sample considered in the present analysis are summarised in a graphical form in Fig. 7, for each decay channel and in tabular form in Tab. 4. The background from charmed particles is the dominant one in the τe\tau\to e and τ3h\tau\to 3h channels while LAS in the τμ\tau\to\mu channel and hadronic re-interactions in the τ1h\tau\to 1h channel are the largest backgrounds. The systematic uncertainty on the signal and on the charm background is estimated to be 20% (Sect. 3.4.1) and the one on the hadronic background to be 30%. The LAS background uncertainty is assumed to be of the order of 50% (grey bars in Fig. 7).

The expectation for the signal events using the two-brick analysis in the final data sample (2008-2012) is of 3.2±0.33.2\pm 0.3 observed ντ\nu_{\tau} events (dashed line in Fig. 7, left). This number is calculated using Δm232=2.32×103eV2\Delta m^{2}_{23}=2.32\times 10^{-3}\rm{eV}^{2} as a central value44 4 The number of oscillated events has a quadratic dependence on Δm232\Delta m^{2}_{23}., the accumulated statistics of 17.97×101917.97\times 10^{19}  pot and a dynamic target mass (Fig. 3) corrected for the dead material and the fraction of bad-quality films (Sect. 3.3). Furthermore this estimate is based on a realistic simulation of all the steps of the analysis chain and in particular the decay search phase (Sect. 3.4) which had not been simulated in full detail in previous analyses.

The current estimate does not include some factors which are expected to increase the efficiency. The extension of the analysis to the 3rd and 4th bricks in the probability map is foreseen. Smaller effects due to the migration of ντ\nu_{\tau} events from one channel to another are not taken into account at present. These effects increase only the expected number of ντ\nu_{\tau} events, while keeping the background at the same level. Finally an optimisation of the selection is ongoing within the new simulation framework with the goal of maximising the expected sensitivity.

5 Analysed sample and results

The number of events from the present analysed sample surviving the complete selection chain described above amounts to two τ\tau-candidates (hereafter called A and B). Given that the candidate which occurred first (A, τ1h\tau\to 1h) has already been extensively documented in  ref1sttau; ref2ndoscpaper, this paper will focus on the description of the second candidate.

5.1 Description of the second ντ\nu_{\tau} candidate event.

This neutrino interaction occurred on 23 April 2011 at 7.15 UTC time. The pattern of hit scintillator strips in the TT is shown in Fig. 8. The event, of which the estimated hadronic energy is (22.0±6.222.0\pm 6.2) GeV, is classified as 0μ0\mu and the bulk of the activity in the electronic detector is contained within about 6 to 8 brick walls (more than 60 X0X_{0} and about 2.5 pion interaction lengths). The interaction took place in the target of the upstream Super Module and lies well within the brick-filled target region. The neutrino vertex brick (having a probability of 63%) was located in the longitudinal direction (zz), in the second most upstream brick layer (called W0W_{0}), in the horizontal direction (xx), in the 3rd brick layer from the closest side (left side looking towards the CNGS) and, in the vertical direction (yy), in the 19th brick layer from the bottom. In Fig. 8 the position of the brick containing the interaction is highlighted. A linear extrapolation of the vertex tracks found in the emulsions (described in the following) is also shown to illustrate the matching with hits in the scintillators. The event emulsion data has been independently measured with the European and Japanese scanning systems with consistent results. The average values are considered in the following.

Figure 8: Event display of ντ\nu_{\tau} candidate event B: Target Tracker hits with brick tracks super-imposed. The left panel is the top-view, the right panel the side-view. The position of the brick containing the neutrino interaction is highlighted.

The interaction is well inside the brick in the longitudinal coordinate lying slightly upstream of the center of the brick (22nd lead plate in increasing zz order) while in the transverse plane it lies at 6.8 mm and 41.4 mm from the closest sides in xx and yy.

The topology of the primary vertex (V0V_{0} in Fig. 9) consists of two tracks, the τ\tau lepton candidate and another track (called p0p_{0}). The distance of closest approach of the p0p_{0} and τ\tau tracks equals to 0.2 μ\mum and the vertex lies close to the downstream emulsion film, at a depth in lead of only 120 μ\mum. A forward-going nuclear fragment associated to the primary vertex has also been detected at a large angle with slopes of: (1.15,0.28)(1.15,-0.28)55 5 Slopes are given as tangents of the projected angles after correction for the 58 mrad vertical tilt of the beam. .

Figure 9: Event display of ντ\nu_{\tau} candidate event B: reconstruction in the brick (side-view). Vertical lines indicate the position of the middle-point of emulsion films 22 to 44, numbering them in order of increasing zz from 1 to 57. The pitch is 1.3 mm. The black segments represent reconstructed base-tracks while the gray lines are the result of the track fit.

The flight length of the τ\tau lepton candidate is (1466 ±\pm 10) μ\mum and its decay occurs in the plastic base allowing excluding with a high efficiency (above 99.8% at 90% C.L. up to tanθ=3\tan\theta=3largeangle_a) the emission of highly ionising nuclear fragments. The secondary vertex (V1V_{1},  Fig. 9) consists of three tracks (called d1d_{1}, d2d_{2}, d3d_{3}). A display of the reconstructed grains in the emulsion layers is presented in Fig. 10. The impact parameters of the decay products with respect to the reconstructed secondary vertex are 1.3, 1.2 and 0.3 μ\mum for d1d_{1}, d2d_{2} and d3d_{3} respectively. After eye-inspection the background from instrumental fake tracks or tracks due to Compton electrons is negligible.

Refer to caption
Figure 10: Top-view display of the candidate τ3h\tau\to 3h decay vertex (V1V_{1} in Fig. 9). The single grains observed by the optical microscope are visible in the emulsion layers (left-side and right-side rectangles). The directions of micro-tracks are extrapolated to the decay vertex in the plastic base region (central rectangle).

In the beam transverse plane the τ\tau and the p0p_{0} tracks form an angle ΔϕτH=(167.8±1.1)\Delta\phi_{\tau H}=(167.8\pm 1.1)^{\circ} (Fig. 11).

Figure 11: Event display of ντ\nu_{\tau} candidate event B: CNGS transverse plane momentum balancing. The red (blue) line represents the sum of the transverse momentum of the secondary (primary) vertex tracks. The dotted line marks the direction of the parent. The inset represents the transverse momenta of daughter tracks along the parent flight length direction.

In order to strongly constrain the hypothesis that the secondary vertex could be a hadronic interaction, a search for nuclear fragments has been performed both upstream and downstream of the vertex with an automatic scanning up to tanθ=3.5\tan\theta=3.5 as well as by visual inspection. No such fragment was found.

A search for γ\gamma conversions has been performed up to tanθ=1\tan\theta=1 for the 35 films (about 6 X0X_{0}) downstream of the vertex yielding no candidates.

The analysis of each track to determine its nature and momentum is described below:

  • track p0p_{0} has a measured momentum pp0=(2.80.7+0.7)p_{p_{0}}=(2.8^{+0.7}_{-0.7}) GeV/cc. This track points towards the centre of the detector in the top-view such that its signature as a hadron is already well constrained using the target tracker information only. Nevertheless the track has been followed in the downstream wall (W1W_{1}) where it is found to exit the brick to the side. Compatible tracks have neither been found in the adjacent brick in W1W_{1} nor in downstream bricks (and CS doublets) up to W3W_{3}. Gamma rays from a possible hadronic interaction were also searched for in two bricks in W2W_{2}, however, no γ\gamma was found. This track is then assumed to interact in the dead material in-between two bricks. A muon with a momentum of the magnitude measured by MCS would be expected to travel from 26 to 44 brick layers before stopping. This makes the muon hypothesis very unlikely: DTFDD_{TFD} is 0.05 for this track. Its projected slopes are (0.155,0.365)(0.155,-0.365), well inside the angular acceptance of the scanning. Even considering the possibility of having missed a muon track crossing the downstream emulsion detectors, the pattern in the scintillators does not allow the existence of such a track for more than about 7-8 brick walls.

  • track d1d_{1} has slopes of (-0.056, 0.101) and a measured momentum pd1=(6.61.4+2.0)p_{d_{1}}=(6.6^{+2.0}_{-1.4}) GeV/cc. A hadronic interaction is detected in the emulsions of the brick in wall W4W_{4} (see Fig. 8) producing two charged tracks with slopes of (0.234, 0.489) and (0.034, -0.305). The signature of the interaction is also indicated by the target tracker scintillators.

  • track d2d_{2} has a slope of (-0.041, 0.260) and a measured momentum pd2=(1.30.2+0.2)p_{d_{2}}~=~(1.3^{+0.2}_{-0.2}) GeV/cc. It has not been found in W2W_{2} or in the following walls corresponding to a range-momentum correlation parameter DTFD=0.25D_{TFD}=0.25.

  • track d3d_{3} has a slope of (-0.134, 0.220) and a measured momentum pd3=(2.00.6+0.9)p_{d_{3}}~=~(2.0^{+0.9}_{-0.6}) GeV/cc. This track interacts in the brick containing the neutrino vertex, after 11 lead plates i.e. about 1.3 cm downstream (V2V_{2} in Fig. 9). The interaction occurs inside the emulsion resulting in a very clear signature. The final state is composed of two charged tracks (d31d_{3-1} and d32d_{3-2}) and four back-scattered nuclear fragments.

The scalar sum of the momenta of all the measured charged particles in the event is 12.71.7+2.3{}^{+2.3}_{-1.7} GeV/cc.

5.2 Summary of the two ντ\nu_{\tau} candidate events.

From the arguments developed in ref1sttau; ref2ndoscpaper and in Sect. 5.1, it is concluded that the two events are candidates of τ\tau decays into the 1-charged hadron (1h1h) and 3-charged hadrons (3h3h) channels, respectively. Table 5 summarises the values taken by the kinematic variables for the two candidates together with the cuts applied in the analysis.

Variable τ1h\tau\to 1h selection candidate event A τ3h\tau\to 3h selection candidate event B
zdecz_{dec} (μ\mum) << 2600 435 ±\pm 35 idem 1446 ±\pm 10
ϕlH\phi_{lH} () >90>90 172.5±1.7172.5\pm 1.7 idem 167.8±1.1167.8\pm 1.1
θkink\langle\theta_{kink}\rangle (mrad) >> 20 41 ±\pm 2 << 500 87.4 ±\pm 1.5
pTmissp_{T}^{miss} (GeV/cc) << 1 0.570.17+0.320.57^{+0.32}_{-0.17} idem 0.31±0.110.31\pm 0.11
p2ryp_{2ry} (GeV/cc) >2>2 123+612^{+6}_{-3} >> 3 8.4 ±\pm 1.7
pT,2ryp_{T,2ry} (GeV/cc) >> 0.3(0.6) 0.470.12+0.24{}^{+0.24}_{-0.12} / /
mminm_{min} (GeV/c2c^{2}) / / [0.5, 2] 0.96 ±\pm 0.13
mm (GeV/c2c^{2}) / / [0.5, 2] 0.80 ±\pm 0.12
Table 5: Selection criteria for ντ\nu_{\tau} candidate events and corresponding measured values.

The distributions of ϕlH\phi_{lH}, for the expected signal and background components in the analysed sample are presented in Fig. 12 for the 1hh and 3hh channels separately. The measured values in the data are indicated by vertical lines.

Figure 12: Distributions of ϕlH\phi_{lH} for the τ1h\tau\to 1h (left) and τ3h\tau\to 3h (right) selections. The filled histograms represent in different colors (see the legend) the MC expectation for signal and background while the vertical lines represent the values measured for the τ\tau candidates. The background and signal components are stacked and, for the sake of visualisation, backgrounds have been scaled up with the factors indicated in the legends. 

6 Significance of the observation

The significance of the observation of two candidates with the present estimate of the backgrounds is addressed by considering the confidence in the exclusion of the null hypothesis (i.e. having observed no νμντ\nu_{\mu}\to\nu_{\tau} oscillation signal). The probability that the two events might be due to an upward fluctuation of the background is defined as the integral of the Poisson distribution evaluated for n2n\geq 2: p=n=2μneμn!p=\sum_{n=2}^{\infty}{\mu^{n}\frac{e^{-\mu}}{n!}}. Using for μ\mu the sum of the background in the four channels (see Fig. 7), the value p=1.36×102p=1.36\times 10^{-2} is obtained, corresponding to a 2.20σ2.20\sigma exclusion (adopting the one-sided definition).

In a similar manner the pp-values of the two channels can be defined: p1h=2.6×102p_{1h}=2.6\times 10^{-2} (1.94σ1.94\sigma ) and p3h=1.10×101p_{3h}=1.10\times 10^{-1} (1.23σ1.23\sigma ). To combine them, an approach based on generating a large number of pseudo-experiments has then been followed. For each of the four τ\tau decay channels an integer, ni=1,,4n_{i=1,...,4}, is extracted from the Poisson distribution of background. The pip_{i} values are then calculated as above for each extraction and the estimator of the results pp^{\star} is obtained by taking their product p=p1p2p3p4p^{\star}=p_{1}p_{2}p_{3}p_{4} (different choices of estimator exist). The counting of the fraction of pseudo experiments for which pp1hp3hp^{\star}\leq p_{1h}p_{3h} yields a significance of 2.40σ2.40\sigma. More elaborated estimates of the significance could be obtained using a log-likelihood ratio analysis or other multi-variate techniques. This approach will be addressed in future works.

7 Conclusions and prospects

The results of the ντ\nu_{\tau} appearance analysis on a pre-selected sample of the neutrino interactions collected by the OPERA experiment in the years 2008 to 2011 are reported. A two-brick analysis was performed on all 2008 and 2009 predictions while for 2010 and 2011 the analysis was restricted to the most probable brick of all 0μ0\mu events and of 1μ1\mu events with pμ<15p_{\mu}<15 GeV/cc of the 2010 sample. A total of two ντ\nu_{\tau} candidates has been observed, one in the τ1h\tau\to 1h channel and one in the τ3h\tau\to 3h channel. This result is compatible with the expected amount of 1.53±0.161.53\pm 0.16 signal events and 0.18±0.020.18\pm 0.02 background events in all channels. The good agreement between data and MC, both for the location efficiencies of νμ\nu_{\mu} events and for the detection of charmed particles, indicates that the overall τ\tau finding efficiencies are well understood. Using the presently analysed sample the absence of a signal from νμντ\nu_{\mu}\to\nu_{\tau} oscillations (null hypothesis) is excluded at 2.40σ2.40\sigma.

In the near future, the analysis of the 2011 sample will be completed using the same event selection as for 2010 as well as that of the 2012 sample currently in progress. Finally the search for events not found in the HPB will be extended to second-priority bricks as it was done for the 2008 and 2009 samples. The inclusion of 3rd and 4th bricks, which is also foreseen as a further step, will bring an additional increase of the location efficiency. The current significance can be improved with the ongoing increase of the analysed sample.

8 Acknowledgments

We thank CERN for the successful operation of the CNGS facility and INFN for the continuous support given to the experiment during the construction, installation and commissioning phases through its LNGS laboratory. We warmly acknowledge funding from our national agencies: Fonds de la Recherche Scientifique-FNRS and Institut InterUniversitaire des Sciences Nucléaires for Belgium, MoSES for Croatia, CNRS and IN2P3 for France, BMBF for Germany, INFN for Italy, JSPS (Japan Society for the Promotion of Science), MEXT (Ministry of Education, Culture, Sports, Science and Technology), QFPU (Global COE programme of Nagoya University, Quest for Fundamental Principles in the Universe supported by JSPS and MEXT) and Promotion and Mutual Aid Corporation for Private Schools of Japan for Japan, SNF, the University of Bern and ETH Zurich for Switzerland, the Russian Foundation for Basic Research (grant no. 09-02-00300 a, 12-02-12142 ofim), the Programs of the Presidium of the Russian Academy of Sciences Neutrino physics and Experimental and theoretical researches of fundamental interactions connected with work on the accelerator of CERN, the Programs of Support of Leading Schools (grant no. 3517.2010.2), and the Ministry of Education and Science of the Russian Federation for Russia, the National Research Foundation of Korea Grant No. 2011-0029457 for Korea and TUBITAK, the Scientific and Technological Research Council of Turkey, for Turkey. We are also indebted to INFN for providing fellowships and grants to non-Italian researchers. We thank the IN2P3 Computing Centre (CC-IN2P3) for providing computing resources for the analysis and hosting the central database for the OPERA experiment. We are indebted to our technical collaborators for the excellent quality of their work over many years of design, prototyping and construction of the detector and of its facilities.

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